本文属于机器翻译版本。若本译文内容与英语原文存在差异，则一律以英文原文为准。

部署AWS Lambda使用 .NET 核心 CLI 项目

AWS Toolkit for Visual Studio 包含适用于 Visual Studio 的 AWS Lambda .NET 内核项目模板。您可以使用 .NET 内核命令行界面 (CLI) 部署 Visual Studio 中构建的 Lambda 函数。

先决条件

在使用 .NET 核心 CLI 部署 Lambda 函数之前，您必须满足以下先决条件：

相关主题

在使用 .NET 核心 CLI 部署 Lambda 函数时，以下相关主题可能会有所帮助：

列出 .NET 核心 CLI 使用的 Lambda 命令

要列出可通过 .NET 核心 CLI 使用的 Lambda 命令，请执行以下操作。

C:\Lambda\AWSLambda1\AWSLambda1>dotnet lambda --help
    AWS Lambda Tools for .NET Core functions
    Project Home: https://github.com/aws/aws-lambda-dotnet
    .
    Commands to deploy and manage Lambda functions:
    .
            deploy-function         Deploy the project to Lambda
            invoke-function         Invoke the function in Lambda with an optional input
            list-functions          List all of your Lambda functions
            delete-function         Delete a Lambda function
            get-function-config     Get the current runtime configuration for a Lambda function
            update-function-config  Update the runtime configuration for a Lambda function
    .
    Commands to deploy and manage AWS serverless applications using AWS CloudFormation:
    .
            deploy-serverless       Deploy an AWS serverless application
            list-serverless         List all of your AWS serverless applications
            delete-serverless       Delete an AWS serverless application
    .
    Other Commands:
    .
            package                 Package a Lambda project into a .zip file ready for deployment
    .
    To get help on individual commands, run the following:

            dotnet lambda help <command>

从 .NET 核心 CLI 发布 .NET 核心 Lambda 项目

以下说明假定您已在 Visual Studio 中创建 AWS Lambda .NET 内核函数。

成功完成后，将显示消息 New Lambda function created (新 Lambda 函数已创建)。

C:\Lambda\AWSLambda1\AWSLambda1>dotnet lambda deploy-function
Executing publish command
... invoking 'dotnet publish', working folder 'C:\Lambda\AWSLambda1\AWSLambda1\bin\Release\netcoreapp1.0\publish'
... publish: Publishing AWSLambda1 for .NETCoreApp,Version=v1.0
... publish: Project AWSLambda1 (.NETCoreApp,Version=v1.0) will be compiled because expected outputs are missing
... publish: Compiling AWSLambda1 for .NETCoreApp,Version=v1.0
... publish: Compilation succeeded.
... publish:     0 Warning(s)
... publish:     0 Error(s)
... publish: Time elapsed 00:00:01.2479713
... publish:
... publish: publish: Published to C:\Lambda\AWSLambda1\AWSLambda1\bin\Release\netcoreapp1.0\publish
... publish: Published 1/1 projects successfully
Zipping publish folder C:\Lambda\AWSLambda1\AWSLambda1\bin\Release\netcoreapp1.0\publish to C:\Lambda\AWSLambda1\AWSLamb
da1\bin\Release\netcoreapp1.0\AWSLambda1.zip
Enter Function Name: (AWS Lambda function name)
DotNetCoreLambdaTest
Enter AWS Region: (The region to connect to AWS services)
us-west-2
Creating new Lambda function
Select IAM Role that Lambda will assume when executing function:
    1) lambda_exec_LambdaCoreFunction
    2) *** Create new IAM Role ***
1
New Lambda function created

如果您部署现有函数，则部署函数仅要求AWS区域。

C:\Lambda\AWSLambda1\AWSLambda1>dotnet lambda deploy-function
Executing publish command
Deleted previous publish folder
... invoking 'dotnet publish', working folder 'C:\Lambda\AWSLambda1\AWSLambda1\bin\Release\netcoreapp1.0\publish'
... publish: Publishing AWSLambda1 for .NETCoreApp,Version=v1.0
... publish: Project AWSLambda1 (.NETCoreApp,Version=v1.0) was previously compiled. Skipping compilation.
... publish: publish: Published to C:\Lambda\AWSLambda1\AWSLambda1\bin\Release\netcoreapp1.0\publish
... publish: Published 1/1 projects successfully
Zipping publish folder C:\Lambda\AWSLambda1\AWSLambda1\bin\Release\netcoreapp1.0\publish to C:\Lambda\AWSLambda1\AWSLamb
da1\bin\Release\netcoreapp1.0\AWSLambda1.zip
Enter Function Name: (AWS Lambda function name)
DotNetCoreLambdaTest
Enter AWS Region: (The region to connect to AWS services)
us-west-2
Updating code for existing function

在部署 Lambda 函数后，便可使用该函数。有关更多信息，请参阅 。如何使用 的示例AWSLambda.

Lambda 会自动替您监控 Lambda 函数，并通过亚马逊报告各项指标 CloudWatch. 要监控 Lambda 函数并排除故障，请参阅诊断和监控AWSLambda 在亚马逊上使用 CloudWatch.